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Knowledge
The chapter provides a comprehensive overview of four fundamental linear data structures: Arrays, Linked Lists, Stacks, and Queues. Each structure's definition, operations, advantages, and disadvantages are discussed, emphasizing their usage in data organization and algorithm design. The time and space complexities are compared, highlighting the trade-offs between access speed, memory usage, and ease of insertion and deletion.
Sections
References
ee-ds-2.pdfClass Notes
Memorization
What we have learnt
- Arrays allow fast random ac...
- Linked lists provide dynami...
- Stacks operate in a LIFO ma...
Final Test
Revision Tests
What we have learnt
- Arrays allow fast random access but have a fixed size, making insertions and deletions inefficient.
- Linked lists provide dynamic memory management with efficient insertions and deletions but lack random access.
- Stacks operate in a LIFO manner, while queues follow FIFO, and both serve essential roles in algorithm implementation.
Key Concepts
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Term: Array
Definition: A fixed-size, contiguous block of memory for storing elements of the same data type, allowing O(1) access.
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Term: Linked List
Definition: A dynamic data structure made up of nodes, where each node contains data and a pointer to the next node, facilitating dynamic memory allocation.
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Term: Stack
Definition: A LIFO data structure where elements are added and removed from the same end, supporting operations like push, pop, and peek.
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Term: Queue
Definition: A FIFO data structure where elements are added at the rear and removed from the front, commonly used in scheduling tasks.
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Term: Time Complexity
Definition: A computational complexity that describes the amount of time an algorithm takes to run relative to the size of the input.
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Term: Space Complexity
Definition: A measure of the amount of working storage an algorithm needs, in relation to the size of the input data.